Task assignment strategy in LEO-muti-access edge computing based on matching game

As mobile users gradually become the main force to enjoy network services, the demand for ubiquitous computing services accelerates the development of multi-access edge computing (MEC). To meet the business needs of any time and anywhere interconnection and break through the limitations of geographical location, the industry introduces the MEC fusion architecture based on the low earth orbit (LEO) satellite to solve the computing service problems of users located in complex geographical regions. In this paper, aiming at the task assignment problem in the process of task offloading, the user-first matching game algorithm and the edge service provider-first matching game algorithm are designed based on the matching game theory. Through simulation experiments, the user delay and edge service provider benefits of different algorithms are compared and analyzed, and the superiority of the proposed method is proved.